Role Of Artificial Intelligence Research Articles

The Role of Artificial Intelligence in Investment Decision-Making: Opportunities and Risks for Financial Institutions

The Role of Artificial Intelligence in Investment Decision-Making: Opportunities and Risks for Financial Institutions

The Role of Artificial Intelligence in Enhancing Internal Auditing Processes on Audit Firms in The Kingdom of Saudi Arabia (KSA).

The Role of Artificial Intelligence in Enhancing Internal Auditing Processes on Audit Firms in The Kingdom of Saudi Arabia (KSA).

Recent trend in the care of chronic kidney disease patients: A shift from paternalistic to collaborative approach

The global rise in chronic kidney disease (CKD) necessitates a re-evaluation of healthcare practices. This review explores the shift from paternalistic to collaborative model, focusing on patient empowerment. This article aims to elucidate the foundational concept of patient empowerment, describe the goals of patient-centered care (PCC), identify barriers to PCC implementation, and propose strategies to enhance PCC. The ultimate aim is to empower CKD patients in self-care. The article explores multifaceted strategies of PCC, highlights the pivotal role of shared decision-making, and underscores the necessity of a collaborative clinician-patient partnership. It emphasizes the significance of patient-centered education, benefits of PCC in CKD care, and the role of artificial intelligence in improving healthcare outcomes. This review concludes by summarizing insights into the transformative shift toward patient-centered approaches in CKD management. It emphasizes the positive impact of this paradigm shift on both the healthcare system and CKD patients. The findings highlight the positive effects of PCC on both the health-care system and CKD patients.

The Integration of Radiomics and Artificial Intelligence in Modern Medicine.

With profound effects on patient care, the role of artificial intelligence (AI) in radiomics has become a disruptive force in contemporary medicine. Radiomics, the quantitative feature extraction and analysis from medical images, offers useful imaging biomarkers that can reveal important information about the nature of diseases, how well patients respond to treatment and patient outcomes. The use of AI techniques in radiomics, such as machine learning and deep learning, has made it possible to create sophisticated computer-aided diagnostic systems, predictive models, and decision support tools. The many uses of AI in radiomics are examined in this review, encompassing its involvement of quantitative feature extraction from medical images, the machine learning, deep learning and computer-aided diagnostic (CAD) systems approaches in radiomics, and the effect of radiomics and AI on improving workflow automation and efficiency, optimize clinical trials and patient stratification. This review also covers the predictive modeling improvement by machine learning in radiomics, the multimodal integration and enhanced deep learning architectures, and the regulatory and clinical adoption considerations for radiomics-based CAD. Particular emphasis is given to the enormous potential for enhancing diagnosis precision, treatment personalization, and overall patient outcomes.

CDSS Adoption and the Role of Artificial Intelligence in Saudi Arabian Primary Healthcare

The integration of advanced Clinical Decision Support Systems (CDSS) is crucial in healthcare, especially in developing countries. However, the challenges to CDSS implementation in these settings are often overlooked, leading to implementation gaps. This study investigates the adoption of CDSS in primary healthcare facilities in Saudi Arabia through in-depth interviews with general practitioners. The advancement of primary healthcare systems in developing nations necessitates appropriate technological solutions to address issues such as equitable access, service quality, and patient satisfaction. The adoption of CDSS can potentially improve patient satisfaction and enhance medical consultations. Artificial intelligence -driven technologies like the Velys robot are transforming the medical field by assisting doctors in surgical procedures. In healthcare, Artificial intelligence (AI) can address issues related to complex diseases, aging populations, and workforce shortages. AI solutions can streamline patient flow, improve care coordination, and support personalized healthcare management. By assessing the impact of AI on patient care, healthcare efficiency, and effectiveness can be enhanced. This research highlights the challenges and opportunities in CDSS adoption in developing countries, with implications for healthcare improvement in Saudi Arabia.

How AI Use Will Increase the Value of Soft Skills at Work

This article discusses research on how artificial intelligence (AI) is impacting the skills needed for jobs. As AI automates routine tasks, studies find that cognitive and soft skills will become more important for problem-solving, collaboration, and interacting with technologies. Soft skills like communication, emotional intelligence, and adaptability will grow in value as humans work synergistically with AI. These skills are universally applicable and allow people to manage complex social situations that AI cannot yet handle. As jobs evolve rapidly with AI, soft skills also facilitate lifelong learning and strategic thinking. The article explores why soft skills will rise in prominence through several compelling reasons, including humans' continued superiority in managing social relationships and AI's role complementing rather than replacing people. It also outlines strategies for organizations to develop soft skills training, job design emphasizing human-AI strengths, and supportive cultures and leadership. Industry examples demonstrate how focusing on soft skills unlocks AI's full business benefits and ensures employees can thrive as work transforms.

The Impact of AI on Enhancing Students’ Intercultural Communication Competence at the University Level: A Review Study

This systematic review explores the transformative role of Artificial Intelligence (AI) and Information and Communication Technologies (ICT) in enhancing intercultural communication competence (ICC) at the university level. As AI increasingly integrates into educational settings, its potential to revolutionize student learning and cultural interactions is profound. The review synthesizes findings from 11 empirical studies conducted globally, assessing the impact of AI-driven tools, such as chatbots and virtual reality simulations, on students' ability to handle cultural differences. While AI offers significant benefits in personalizing learning and fostering immersive cultural experiences, challenges remain, particularly in ensuring cultural sensitivity and addressing inequalities in technology access. The review stresses the need for careful integration of AI in education, cautioning the audience about potential pitfalls and emphasizing the importance of human oversight to reduce biases and enhance cultural understanding. The pedagogical implications stress the importance of blending AI with traditional teaching methods to create inclusive learning environments that prepare students for globalized society's demands. The review also identifies areas for future research, including the long-term impact of AI on ICC and the ethical considerations surrounding AI use in education. In the end, this study contributes to the ongoing discourse on AI's role in shaping the future of intercultural education.

Digital Transformation In Business - The Impact Of AI In Enhancing Customer Experience

Background: This study investigates how artificial intelligence (AI) enhances customer experience as part of digital business transformation. With businesses increasingly relying on AI for personalization and real-time engagement, this research seeks to understand AI's role in improving customer satisfaction, particularly in service areas like social media marketing and call centers. Materials and Methods: The research uses a secondary research approach, analyzing literature and reports from 2018 to 2024. Data was gathered from peer-reviewed articles, case studies, and industry reports, and thematic analysis was applied to identify the key impacts of AI on customer experience. Results: The findings reveal a positive correlation between AI and improved customer experience, with AI accounting for 26.4% of the variance. Key benefits include personalized services (22.9%) and better after-sale support (7%). AI has also reduced waiting times and improved real-time engagement, particularly in customer service. Conclusion: AI offers significant benefits for enhancing customer experience, but the challenges remain, including adoption barriers and privacy concerns. This study concludes that balancing technological advancements with ethical considerations is crucial for successful AI integration

Review of AI-Driven Solutions in Business Value and Operational Efficiency

Introduction. Artificial intelligence (AI) refers to a wide spectrum of breakthroughs that offer multiple advantages to companies in terms of increased sales. Considering the abundance of data and the significant increase in computational resources, organisations have rapidly turned to artificial intelligence (AI) to create financial benefits. Nevertheless, businesses continue to discover it is challenging to implement and employ AI in their everyday activities. Therefore, a comprehensive understanding is required due to the absence of an integrated comprehension of how artificial intelligence creates business value and what kind of corporate worth is anticipated. Aim and tasks. The study aims to review value-generating methods and explain how enterprises might use AI technology in their business activities. To accomplish its main aims, this study offers a thorough literature review. The working hypothesis claims that the use of AI can increase business value. Results. This study examines the research capabilities of AI, its use in the corporate environment, and its initial and secondary impacts. The impact of AI includes process efficiency, generating insights hidden in huge amounts of data, and transforming business processes in terms of procedural actions, operational efficiency, financial efficiency, market efficiency, and sustainability in terms of company profile. In addition to the favourable impacts, several recent cases have shown that unwanted and undesired consequences may develop in the absence of effective management procedures. These effects hurt the reputation of the businesses concerned and, in certain cases, resulted in huge fines and financial losses. Such findings increase the responsibility of AI enterprises to incorporate solutions that reduce the bias in data and algorithms at every stage of implementation. Conclusions. The role of artificial intelligence in the corporate environment in value creation and operational efficiency is extending. AI technologies can be used by companies to increase automation of corporate processes without direct interaction with customers, including applications that mean the use of AI in customer-facing services and products. Learning about the means by which AI might be employed will assist businesses in generating rational choices regarding the strength of implementing technologies in the supply chain. Assessing the possible implications of AI acceptance of artificial intelligence may enable firms to plan more successfully on a technology’s launch.

Role of Artificial Intelligence in the Computer Network: Review

A combination Artificial Intelligence (AI) with networks systems increases from efficiency and performance of the networks. Today routine life needs huge of data and applications shared between people that lead to a traffic load on networks, therefore intelligence networks produces are important abilities of AI in controlling and avoiding troubleshooting. Also AI improves from security and management of databases .Effective high-intelligent networks operate networks in automation systems .It is one of the most hopeful computer networks future. The development of artificial intelligence in the computer network relies on the importance of applications security and cloud computing. In recent years, a big development has occurred in Artificial Intelligence and majority of computer networks that leads to the of AI in the applications of network techniques. This paper reviews a role of combination of Artificial Intelligence with Computer Networks. Discussed two topics combination of AI in the computer network (Cloud Computing and Security). AI in cloud computing increases efficiency and significant networking. In addition, reduced the cost and minimized base of clouding. Artificial Intelligence controls huge amounts of databases in the cloud avoiding problems in heavy traffic networks. AI is a good solution in cyber-attacks, also solving most problems of security. Today more intelligent interaction with computer networks. Automate solutions in more application applying successful training and testing data sets. Artificial intelligence contributes to all fields of life and encourages the development of new technologies and uses. More robots, data automation, and many applications in the Internet of Things are expected.

The Role of Artificial Intelligence in Literary Analysis: A Computational Approach to Understand Literary Styles

This research explores the evolving landscape of literary analysis through the integration of Artificial Intelligence (AI) and traditional human scholarship. The primary objective is to assess the extent to which AI can enhance the analysis of literary texts by examining its performance in uncovering thematic and stylistic elements within William Shakespeare's "Hamlet." This study employs a mixedmethods research approach, combining qualitative and quantitative techniques to provide a comprehensive evaluation. In the digital age, AI has emerged as a promising tool for text analysis, offering efficiency and scalability. However, it raises fundamental questions about its ability to grasp the profound nuances, cultural contexts, and thematic richness inherent in literary works. Through meticulous comparative and thematic analyses, this research investigates the strengths and limitations of AI in literary analysis, juxtaposing its findings with traditional human interpretations. The results of our study reveal that AI excels in identifying patterns, themes, and stylistic markers within "Hamlet." It effectively recognizes key themes such as revenge, madness, and moral corruption. However, AI's analysis often lacks the depth and contextual understanding present in traditional critiques, particularly in interpreting abstract motifs and cultural references. Our findings underscore the complementary nature of AI and human scholarship in literary analysis. While AI offers quantitative efficiency and objectivity, human interpretation provides the depth, cultural insights, and emotional resonance necessary for a comprehensive understanding of literary works. We argue for a harmonious future where AI augments human expertise, leading to more profound insights and a richer literary scholarship. This research not only contributes to the field of literary analysis but also offers a broader perspective on the evolving relationship between technology and human creativity. As AI technologies advance, the collaborative synergy between AI's quantitative efficiency and human interpretation's qualitative depth promises to reshape the landscape of literary studies, enriching our understanding of literature across diverse genres, time periods, and cultural contexts.

AI in Textiles: A Review of Emerging Trends and Applications

Abstract: The integration of Artificial Intelligence (AI) in the textile industry is driving significant advancements across various domains, including manufacturing, design, quality control, and sustainability. This review explores how AI technologies, such as machine learning, computer vision, and predictive analytics, are transforming traditional processes to enhance efficiency, reduce waste, and offer innovative solutions for smart textiles and wearable technology. AI-driven automation is optimizing production workflows, while AI-powered quality control ensures higher accuracy in defect detection and fabric inspection. Additionally, AI is enabling predictive analytics in supply chains, helping manufacturers anticipate demand and manage resources more effectively. The review also highlights AI's role in sustainable textiles, where it supports eco-friendly practices by minimizing waste, promoting resource efficiency, and enabling circular fashion. Despite its transformative potential, AI implementation presents challenges, such as ethical concerns, data quality, and integration with traditional systems. This article discusses the current trends, applications, and future directions of AI in textiles, underscoring its pivotal role in reshaping the industry's future.

Artificial Intelligence & Blockchain Technology in Modern Telehealth Systems-A Systematic Review

Background: Telehealth systems have significantly transformed healthcare delivery, particularly in remote areas. However, traditional telehealth models face substantial security and privacy challenges, which hinder their effectiveness and safety. Aim: This study aims to explore the potential of Artificial Intelligence (AI) and blockchain technology in addressing the security vulnerabilities and privacy concerns in telehealth systems and to propose an integrated solution that enhances the efficiency, security, and scalability of these systems. Methodology: The Study presents a survey on existing research on telehealth, and challenges, evaluating AI's role in improving healthcare delivery through data analytics and blockchain's ability to secure healthcare data. The study introduces the Smart Secure Telehealth (SST) algorithm, combining AI and blockchain in an eight-step telehealth operation model covering system initialization, patient data handling, and AI-powered analysis. Result: The paper presents a robust, secure, and scalable telehealth framework. The study highlights the necessity of integrating AI and blockchain for a more secure, patient-centered telehealth system, with potential future improvements including IoT integration for enhanced health monitoring. In addition, the survey presents important gaps for further studies. The proposed Smart Secure Telehealth (SST) algorithm presents a robust solution that may enhances the security, efficiency, and scalability of telehealth systems, paving the way for a more secure and patient-centered healthcare future, if carefully implemented.

IMPACT OF ARTIFICIAL INTELLIGENCE ON E-COMMERCE:"A STUDY OF CONSUMER BEHAVIOR"

Artificial Intelligence (AI) has transformed the e-commerce landscape, influencing consumer behavior significantly. This study aims to explore the various ways AI impacts e-commerce, utilizing numerical data to analyze consumer preferences, purchasing patterns, and overall shopping experiences. The findings reveal both advantages and disadvantages, providing a comprehensive overview of AI's role in shaping modern consumer behavior. This study examines the transformative effects of artificial intelligence on E-commerce and consumer preferences and purchasing patterns have evolved. this paper analyzes various numerical data, identifies key trends, and discusses the advantages and disadvantages of AI in E-commerce. In online shopping enterprises, AI technology has been widely used to provide accurate and fast personalized consumer services. This research demonstrates the use of AI technology in the e-commerce business, specifically online enterprises, to determine different effects. The study was conducted in Jordan and involved about 230 participants. The study evaluated different impacts of AI, such as e-payment and stimulating consumers' sentiments. The study used the Stimulus–Organism–Response model (SOR) empirical model, which states that the examination of human processes differs from that of the machine assessment. The model classified the AI technology experienced by the customers' when they visit online to do purchasing. Online purchasing behaviors can be influenced by insight, accuracy, and interaction experience. Also, the perceived value was used as a mediating variable from the prospects of perceived hedonic and utility value. The research integrated empirical research models such as SEM and SPSS to analyze the data on the effects of three-dimension. The results indicated that the AI technology accuracy, interactive experience, and insight significantly affected customers' perceived hedonic and utilitarian values. KEYWORDS: AI in consumer behavior, Artificial Intelligence etc

AI's Role in EFL: Optimizing Opportunities while Mitigating Risks

As artificial intelligence (AI) technologies are increasingly being adopted in educational contexts, it is essential to understand how key stakeholders perceive opportunities and challenges for responsible integration. This mixed-methods study explored EFL teachers' perspectives on utilizing AI tools for instruction, learning activities, and assessment. An online survey collected both quantitative and qualitative data from 150 EFL teachers regarding their experiences, attitudes, and beliefs about AI's pedagogical role and ethical considerations. Descriptive statistics revealed generally positive views of AI's potential for personalized learning and practice opportunities, though ongoing concerns around risks to human interaction, privacy, and bias. Teachers favored collaborative models, with AI playing a supporting role under educator oversight. Significant gaps in teachers' technical literacy and lack of training or support for integration emerged as barriers requiring attention. While potential applications for standardized assessment were acknowledged, ongoing validation of AI models against human judgment was deemed necessary. Qualitative analysis identified uncertainty around AI's impacts on higher-order skill development and communicative competence. Guidelines delineating appropriate roles and oversight frameworks were seen as imperative to ensure aligned, ethical usage maximizing opportunities. This study provides timely empirical insights to inform the development of policies, tools, programs, and practices facilitating the judicious adoption of AI as a partner in strengthening EFL education worldwide through collaborative human-AI partnerships grounded in evidence-based research.

The Role of Artificial Intelligence in the Halal Industry

The halal industry has developed into a promising business opportunity in the industrial era, and many countries are interested in it. Artificial intelligence (AI) has been used in the halal industry to ensure production processes comply with halal standards, improving the safety and quality of halal products. AI can scan, inspect, and monitor any errors that may occur in a product, providing several potential benefits to the halal industry, including improving halal compliance, streamlining the supply chain, and increasing efficiency and productivity. The development of the halal industry in Indonesia shows a positive trend that is increasingly growing, due to awareness of the importance of halal products as a part of lifestyle. This awareness is not only shared by Muslims but also by non-Muslims. This high awareness of halal products will have a positive impact on business opportunities in the halal industry. The Indonesian government has been active in developing the halal industry to encourage the growth of the halal industry.

Leveraging Artificial Intelligence for Optimizing Logistics Performance: A Comprehensive Review

Objective - Artificial Intelligence (AI) has become a pivotal technology in transforming logistics performance. This paper aims to comprehensively understand how AI-enabled solutions improve efficiency, accuracy, and responsiveness in logistics operations. The study focuses on synthesizing current research to explore AI applications across various logistics domains, such as predictive analytics, autonomous vehicles, and smart warehousing. Methodology/Technique – A systematic review approach was used to gather and analyze existing literature on AI applications in logistics. The review covered studies published in recent years, highlighting the advancements and impact of AI on logistics processes. The methodology included selecting relevant sources, categorizing AI applications, and assessing their effects on different logistics functions. Finding – The findings reveal that AI adoption substantially improves logistics operations, including enhanced operational performance, cost reduction, and increased customer satisfaction. Specific AI applications, such as predictive analytics for demand forecasting, autonomous vehicles for transportation, and smart warehousing for inventory management, were identified as key contributors to these improvements. However, challenges such as data privacy concerns and integration complexities were also noted. Novelty – This study's novelty lies in its comprehensive analysis of AI applications across various logistics domains, offering a holistic view of AI's role in optimizing logistics performance. This paper highlights the benefits of AI adoption and addresses the associated challenges, providing insights into future research directions and practical implications for leveraging AI in logistics. Type of Paper: Review JEL Classification: C61, C62, D83. Keywords: Artificial Intelligence; Logistics; Performance Improvement; Predictive Analytics; Autonomous Vehicles; Smart Warehousing Reference to this paper should be referred to as follows: Fatorachian, H. (2024). Leveraging Artificial Intelligence for Optimizing Logistics Performance: A Comprehensive Review, GATR-Global J. Bus. Soc. Sci. Review, 12(3), 146–160. https://doi.org/10.35609/gjbssr.2024.12.3(5) _____________________________________

Understanding Teachers' Perspectives on ChatGPT-Generated Assignments in Higher Education

The rapid integration of artificial intelligence (AI) in education has transformed instructional methodologies and administrative tasks. However, teachers in higher education face challenges, particularly in creating high-quality assignments and rubrics amidst increasing administrative burdens. This study investigates the potential of AI, specifically ChatGPT, in streamlining assignment creation. Through automating aspects of assignment development, AI tools offer support to teachers while maintaining pedagogical integrity. However, empirical investigation is needed to understand perceptions and effectiveness. Using observations and semi-structured qualitative interviews, the study explores teachers' perceptions of AI-generated assignments and their impact on student learning outcomes and engagement. It also examines students' experiences and perceptions, understanding AI's role in enhancing learning experiences and facilitating teacher productivity. The data were analysed by content analysis. Findings suggest that teachers found the usage of ChatGPT helpful in reducing their administrative workload while maintaining academic integrity. Additionally, students embraced attempting the assignments, and doing so contributed to enhancing their subject knowledge. Furthermore, teachers facilitated students by encouraging them to reconsider the problem, persisting in their efforts, and inviting communication and collaboration with peers. The study also discusses the implications for teachers, highlighting AI's transformative potential.

Bridging healthcare gaps: a scoping review on the role of artificial intelligence, deep learning, and large language models in alleviating problems in medical deserts.

"Medical deserts" are areas with low healthcare service levels, challenging the access, quality, and sustainability of care. This qualitative narrative review examines how artificial intelligence (AI), particularly large language models (LLMs), can address these challenges by integrating with e-Health and the Internet of Medical Things to enhance services in under-resourced areas. It explores AI-driven telehealth platforms that overcome language and cultural barriers, increasing accessibility. The utility of LLMs in providing diagnostic assistance where specialist deficits exist is highlighted, demonstrating AI's role in supplementing medical expertise and improving outcomes. Additionally, the development of AI chatbots offers preliminary medical advice, serving as initial contact points in remote areas. The review also discusses AI's role in enhancing medical education and training, supporting the professional development of healthcare workers in these regions. It assesses AI's strategic use in data analysis for effective resource allocation, identifying healthcare provision gaps. AI, especially LLMs, is seen as a promising solution for bridging healthcare gaps in "medical deserts," improving service accessibility, quality, and distribution. However, continued research and development are essential to fully realize AI's potential in addressing the challenges of medical deserts.

Vaccine hesitancy in postpandemic times-Aguide for physicians

The coronavirus disease 2019 (COVID-19) pandemic emphasized the importance of vaccinations for the prevention of life-threatening diseases and for avoiding the overburdening of the healthcare system. Despite the clear advantage of vaccinations, increasing vaccine hesitancy has been observed worldwide, especially among young people who are potential future parents. Vaccine hesitancy describes the delayed or lack of willingness to utilize recommended vaccinations and represents asubstantial challenge for public health. This article analyzes the causes of vaccine hesitancy in the postpandemic period and discusses factors that could make communication successful. The role of artificial intelligence and structured evidence-based discussion techniques, such as the empathetic refutation interview, are emphasized. The aim is to provide practice-oriented recommendations to be able to provide physicians with tools that can help in the education counselling with insecure patients and can promote the acceptance of vaccinations.